Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13.0 dataset in Flax. It is trained using the Transformers Flax examples script, and achieves the following results on the evaluation set:
- Loss: 0.02091
- Wer: 33.96828
The training run can be reproduced in approximately 25 minutes by executing the script run.sh.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-04
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_train_epochs: 10
Training results
See Tensorboard logs for details.
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